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Master Thesis Presentation, Medical Physics, 2015
This document appears to be from a master's thesis that aims to use image analysis to objectively and reproducibly analyze angiogenic hotspots in histological whole slide images. The thesis discusses tumor angiogenesis, microscopy, whole slide imaging of colorectal cancer samples, image segmentation methods, generating blood vessel maps, comparing patterns to random distributions, continuous density functions, hotspot probability maps, and comparison to human observers. The optimized workflow, multivariate maps, and thank you are also briefly mentioned.
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Master Thesis Presentation, Medical Physics, 2015
- 1. Automatic analysis ofangiogenic hotspots in histological whole slide images Master thesis in Medical Physics by Jakob Nikolas Kather supervised by: PD Dr. Frank Zöllner, Dr. Cleo-Aron Weis
- 2. Jakob Nikolas KatherI Slide 2 I 8/22/2015 • Pathophysiology: all solid tumors need blood supply • Example: Colorectal cancer • More blood vessels correlate to higher mortality Tumor angiogenesis Introduction
- 3. Jakob Nikolas KatherI Slide 3 I 8/22/2015 Microscopy and blood vessel immunostaining Introduction
- 4. Jakob Nikolas KatherI Slide 4 I 8/22/2015 Colorectal cancer: whole slide imaging 2mm Introduction
- 5. Jakob Nikolas KatherI Slide 5 I 8/22/2015 Aim of this study Use image analysis to make this procedure objective and reproducible State of the art Introduction
- 6. Jakob Nikolas KatherI Slide 6 I 8/22/2015 Image segmentation Methods
- 7. Jakob Nikolas KatherI Slide 7 I 8/22/2015 Blood vessel map on whole slide image Methods
- 8. Jakob Nikolas KatherI Slide 8 I 8/22/2015 Comparison to random pattern Methods
- 9. Jakob Nikolas KatherI Slide 9 I 8/22/2015 Continuous density function Results
- 10. Jakob Nikolas KatherI Slide 10 I 8/22/2015 F(x,y) x,y ρ μ σ obs CSR probability function spatial dimensions density function global mean global std. dev. observed data random data Normalization / Noise removal Results
- 11. Jakob Nikolas KatherI Slide 11 I 8/22/2015 standard deviations Hotspot probability map Results
- 12. Jakob Nikolas KatherI Slide 12 I 8/22/2015 Black contours = hotspots selected by blinded observer (# primary hotspot) Color bar refers to hotspot probability function overlay (* level of significance) Comparison to human observer Results
- 13. Jakob Nikolas KatherI Slide 13 I 8/22/2015 Optimized workflow Conclusion
- 14. Jakob Nikolas KatherI Slide 14 I 8/22/2015 Multivariate maps Outlook
- 15. Jakob Nikolas KatherI Slide 15 I 8/22/2015 Thank you! PD Dr. Frank Zöllner Dr. Cleo-Aron Weis, MSc Prof. Dr. Lothar Schad Prof. Dr. Alexander Marx
- 16. Jakob Nikolas KatherI Slide 16 I 8/22/2015 Des Guetz G, Uzzan B, Nicolas P, Cucherat M, Morere JF, Benamouzig R, et al. Microvessel density and VEGF expression are prognostic factors in colorectal cancer. Meta-analysis of the literature. Br J Cancer 2006;94(12):1823-32. Baddeley, A., & Turner, R. (2005). Spatstat: an R package for analyzing spatial point patterns. J Stat Softw, 12(6), 1–42. Gelfand, A. E., Diggle, P., Guttorp, P., & Fuentes, M. (2010). Handbook of spatial statistics. Boca Raton, FL, USA: CRC press. Kather, J. N., Marx, A., Reyes-Aldasoro, C. C., Schad, L. R., Zöllner, F. G., & Weis, C.-A. (2015). Continuous representation of tumor microvessel density and detection of angiogenic hotspots in histological whole-slide images. Oncotarget. Epub ahead of print 2015 Jun 8. References